While I was learning Quarto, I created a presentation in RevealJS to help my team learn about it.
The presentation shows how I used the same content files to generate:
Content stuck in my computer is nearly worthless.
Literate programming can help create high-quality reproducible, documented, code.
Donald E. Knuth proposed literate programming in a 1984 article.
Jupyter implements the literate programming paradigm, but generating high-quality output requires additional tools.
\usepackage{ifthen}@for, @whileQuarto® is an open-source scientific and technical publishing system built on Pandoc.
The name comes from the format of a book or pamphlet printed with eight pages of text, four to a side, then folded twice to produce four leaves.
The earliest known European printed book, the Sibyllenbuch (Gutemberg, c.1452), was done in the quarto format, as were many of Shakespeare’s plays.
With Quarto, you can:
You can install Quarto on Linux, Windows and Mac.
About 75% of data scientists use Python through Jupyter notebooks.
With some scripting, you can use pandoc to generate papers, HTML, PowerPoint, etc.
You just need to learn Pandoc.
graph LR
A[.ipynb] --> B(("Pandoc"))
B ----> E[.doc]
B ----> H[.pptx]
B --> C[.md]
B --> D[.tex]
D --> F((Xetex))
C --> I((Hugo))
F --> G[.pdf]
I --> J[.html]
style B fill:#FF6655AA
style F fill:#88ffFF
style I fill:#88ffFF
All you need to use Quarto is to add some YAML (mostly Pandoc configurations) to your .ipynb files: that’s a .qmd file. This keeps the configuration and content in the same file.
You can then render the outputs using quarto render <file.qmd> in the command line.
graph LR
Q[.qmd] --> A
subgraph Quarto
A[.ipynb] --> B(("Pandoc"))
B --> C[.md]
B --> D[.tex]
D --> F((Xetex))
C --> I((Hugo))
style B fill:#FF6655AA
style F fill:#88ffFF
style I fill:#88ffFF
end
B ----> E[.doc]
B ----> H[.pptx]
F --> G[.pdf]
I --> J[.html]
Quarto files always start with a YAML front-matter.
The YAML configuration determines what’s the output format of your document. A few popular output options are html, pptx, docx, and pdf.
You can use a single source file to generate multiple output types.
For example, the YAML on the right will generate a PowerPoint file and a Revealjs presentation.
---
title: "Quarto with Python"
format:
pptx:
reference-doc: templates/template.pptx
revealjs:
incremental: false
theme: pulse
author: Lucas A. Meyer
date: 2022-07-07
---Write content in Markdown.
Quarto’s Markdown supports everything figures, tables, bibliography, etc.
It also supports lots of extra features, like diagrams with mermaid and GraphViz, and even LaTeX equations:
\[ E = mc^2 \]
### Writing content
Write content in [Markdown].
Quarto's Markdown supports everything I'm
used to: figures, tables, bibliography, etc.
It also supports lots of extra features,
like diagrams with `mermaid` and
`GraphViz`, and even LaTeX equations:
$$
E = mc^2
$$The best thing about Quarto is that you can use it to run any code that you would be able to run in a Python notebook.
import numpy as np
import matplotlib.pyplot as plt
r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(subplot_kw=\
{'projection': 'polar'})
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()
You can use mermaid to create diagrams.
The diagram in this and in previous sections were created with mermaid.
flowchart TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]
flowchart TD
A[Hard] -->|Text| B(Round)
B --> C{Decision}
C -->|One| D[Result 1]
C -->|Two| E[Result 2]
Here’s an example of the first regression in Wooldridge’s Introductory Econometrics book:
\[ \text{wage} = \alpha + \beta_1 \times \text{educ} + \epsilon \]
# Load the data
df_wage = pd.read_csv("data/wage1.csv")
# Create an OLS model using
# the R syntax - assumes an intercept
mod = smf.ols(formula="wage ~ educ",
data=df_wage)
# Fit the model
res = mod.fit()
# Show the results
display(Markdown(md(res.summary().
tables[1].as_html())))| coef | s.e. | t | p-value |
|---|---|---|---|
| -0.9049 | 0.685 | -1.321 | 0.187 |
| 0.5414 | 0.053 | 10.167 | 0 |
To create slides, you create sections with #, titles with ##, and bullets with -.
## Basic slide syntax
To create slides, you create sections
with `#`, titles with `##`, and bullets
with `-`.
### Content types
- You can add several types of content
- code (use backticks)
- images
- diagrams
- tables
- etc.To generate a presentation from a .qmd file, add format: pptx to the YAML front-matter.
The part I liked the least is that Quarto will use the pandoc PowerPoint rules to render the content from the .qmd into the .pptx.
The “pandoc rules” substantially limit the flexibility you would have in PowerPoint presentations. Quarto has better presentation support for revealjs and beamer.
The rules are available at:
https://pandoc.org/MANUAL.html#powerpoint-layout-choice
title and author#).md source contains .columns div (:::: {.columns}) and text contentcolumns div but has text and non-text contentBy adding a reference-doc entry to your YAML, you can tell Quarto (and pandoc) to use a file as a template for the format of your presentation.
The “Slide Master” needs to contain layouts named as per the previous slide (e.g. “Comparison”).
This allows you a lot of flexibility in the design of your slide deck, even if it is for just the small number of layouts that were listed in the previous slide.
You can control fonts, add background images, page numbering, etc.
---
title: "Using Quarto for everything"
format: pptx
reference-doc: templates/template.pptx
author: Lucas A. Meyer
date: 2022-07-14
---Let’s say you’re presenting a project about population dynamics but you don’t know which world leaders are coming to the conference.
On the presentation day, you learn that Belgium, China, Brazil, India, Japan and Nigeria are attending.
You can use Python or R to automatically generate slides.
The next slides/sections were generated using the code below:
df_dr = pd.read_csv("data/dr.csv.gz", compression="gzip")
df_pop = pd.read_csv("data/pop_brackets.csv.gz", compression="gzip")
years = [2000, 2025, 2050, 2075, 2100]
regions = ["Belgium", "China", "Brazil", "India", "Japan", "Nigeria"]
for name in regions:
display(Markdown(f"## Age and Population Pyramids for {name}"))
display(Markdown(f'<div class="columns">'))
display(Markdown(f'<div class="column">'))
plot_dependency_ratio(df_dr[df_dr.Location == name])
display(Markdown(f'</div>'))
display(Markdown(f'<div class="column">'))
plot_population_pyramid_series(df_pop[df_pop["Location"]==name], years)
display(Markdown(f'</div>'))
display(Markdown(f'</div>'))
---
title: "Using Quarto for everything"
format: html
# revealjs:
# incremental: false
# theme: [simple, revealjs-customizations.scss]
# title-slide-attributes:
# data-background-image: images/data-viz-bg.jpg
# data-background-size: contain
# data-background-position: right
author: Lucas A. Meyer
date: 2022-07-14
---Adding or changing the format to html will create a website.
I reused some of the content of this presentation to create two scholarly-looking articles. The purpose of the articles is just to show how easy it is to generate them with Quarto, they don’t contain original research.
The relevant files are:
Citations don’t work on presentations, but are easy to add to documents.
You need a BibTex file, e.g., bibliography.bib, and a reference to it bibliography: references.bib to the YAML front-matter. Quarto supports any Citation Style Language.
You can cite by using [@citation-name] in your text. Please check the article .qmd source and the PDF and DOCX outputs.
Generating footnotes is also easy. Using [^ref] links to a footnote, and [^ref: content of the footnote] generates its content1.
You can also write books with quarto. From the same collection of .qmd files, Quarto can generate:
Two recent examples are:
I think Quarto is more helpful for a team that already uses Git with Python notebooks or LaTeX to write articles. Microsoft Word collaboration through SharePoint and Teams is easier than Git and Quarto… but it’s not reproducible.
Quarto adds to Python notebooks without detracting anything. All you need are a few YAML lines.
Quarto allows me to have a scriptable, Python-based blog. I can automate my blog to tweet and post to LinkedIn when I write new articles.
Only if you have
You can use footnotes in presentations and websites, too↩︎